Topologically Constrained Isometric Embedding. - Guy Rosman; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (Human Motion, 2006)

Efficient Beltrami Filtering of Color Images Via Vector Extrapolation. - Lorina Dascal; Guy Rosman; Ron Kimmel (SSVM, 2007)

On reconstruction of non-rigid shapes with intrinsic regularization. - Yohai S. Devir; Guy Rosman; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (ICCV Workshops, 2009)

On Semi-implicit Splitting Schemes for the Beltrami Color Flow. - Lorina Dascal; Guy Rosman; Xue-Cheng Tai; Ron Kimmel (SSVM, 2009)

Efficient Beltrami Image Filtering via Vector Extrapolation Methods. - Guy Rosman; Lorina Dascal; Avram Sidi; Ron Kimmel (SIAM J. Imaging Sci., 2009)

Polyakov Action Minimization for Efficient Color Image Processing. - Guy Rosman; Xue-Cheng Tai; Lorina Dascal; Ron Kimmel (ECCV Workshops (1), 2010)

Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding. - Guy Rosman; Michael M. Bronstein; Alexander M. Bronstein; Ron Kimmel (Int. J. Comput. Vis., 2010)

Fast Regularization of Matrix-Valued Images. - Guy Rosman; Yu Wang 029; Xue-Cheng Tai; Ron Kimmel; Alfred M. Bruckstein (Efficient Algorithms for Global Optimization Methods in Computer Vision, 2011)

Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes. - Guy Rosman; Michael M. Bronstein; Alexander M. Bronstein; Alon Wolf; Ron Kimmel (SSVM, 2011)

Over-Parameterized Optical Flow Using a Stereoscopic Constraint. - Guy Rosman; Shachar Shem-Tov; David Bitton; Tal Nir; Gilad Adiv; Ron Kimmel; Arie Feuer; Alfred M. Bruckstein (SSVM, 2011)

On Semi-implicit Splitting Schemes for the Beltrami Color Image Filtering. - Guy Rosman; Lorina Dascal; Xue-Cheng Tai; Ron Kimmel (J. Math. Imaging Vis., 2011)

Sparse Modeling of Shape from Structured Light. - Guy Rosman; Anastasia Dubrovina; Ron Kimmel (3DIMPVT, 2012)

Articulated Motion Segmentation of Point Clouds by Group-Valued Regularization. - Guy Rosman; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (3DOR@Eurographics, 2012)

Group-Valued Regularization for Analysis of Articulated Motion. - Guy Rosman; Alexander M. Bronstein; Michael M. Bronstein; Xue-Cheng Tai; Ron Kimmel (ECCV Workshops (1), 2012)

Group-Valued Regularization for Motion Segmentation of Articulated Shapes. - Guy Rosman; Michael M. Bronstein; Alexander M. Bronstein; Alon Wolf; Ron Kimmel (Innovations for Shape Analysis, Models and Algorithms, 2013)

On Globally Optimal Local Modeling: From Moving Least Squares to Over-parametrization. - Shachar Shem-Tov; Guy Rosman; Gilad Adiv; Ron Kimmel; Alfred M. Bruckstein (Innovations for Shape Analysis, Models and Algorithms, 2013)

Active Contours for Multi-region Image Segmentation with a Single Level Set Function. - Anastasia Dubrovina; Guy Rosman; Ron Kimmel (SSVM, 2013)

Perspective Photometric Stereo with Shadows. - Roberto Mecca; Guy Rosman; Ron Kimmel; Alfred M. Bruckstein (SSVM, 2013)

Patch-Collaborative Spectral Point-Cloud Denoising. - Guy Rosman; Anastasia Dubrovina; Ron Kimmel (Comput. Graph. Forum, 2013)

On natural parametrizations of motion and structure manifolds. - Guy Rosman (2013)

Aerial Reconstructions via Probabilistic Data Fusion. - Randi Cabezas; Oren Freifeld; Guy Rosman; John W. Fisher III (CVPR, 2014)

A Mixture of Manhattan Frames: Beyond the Manhattan World. - Julian Straub; Guy Rosman; Oren Freifeld; John J. Leonard; John W. Fisher III (CVPR, 2014)

Coresets for k-Segmentation of Streaming Data. - Guy Rosman; Mikhail Volkov 002; Dan Feldman; John W. Fisher III; Daniela Rus (NIPS, 2014)

RGBD-fusion: Real-time high precision depth recovery. - Roy Or-El; Guy Rosman; Aaron Wetzler; Ron Kimmel; Alfred M. Bruckstein (CVPR, 2015)

Coresets for visual summarization with applications to loop closure. - Mikhail Volkov 002; Guy Rosman; Dan Feldman; John W. Fisher III; Daniela Rus (ICRA, 2015)

Fleye on the car: big data meets the internet of things. - Soliman Nasser; Andew Barry; Marek Doniec; Guy Peled; Guy Rosman; Daniela Rus; Mikhail Volkov 002; Dan Feldman (IPSN, 2015)

Multi-Region Active Contours with a Single Level Set Function. - Anastasia Dubrovina-Karni; Guy Rosman; Ron Kimmel (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Real-Time Depth Refinement for Specular Objects. - Roy Or-El; Rom Hershkovitz; Aaron Wetzler; Guy Rosman; Alfred M. Bruckstein; Ron Kimmel (CVPR, 2016)

Persistent Surveillance of Events with Unknown Rate Statistics. - Cenk Baykal; Guy Rosman; Kyle Kotowick; Mark Donahue; Daniela Rus (WAFR, 2016)

On the Role of Representations for Reasoning in Large-Scale Urban Scenes. - Randi Cabezas; Maros Blaha; Sue Zheng; Guy Rosman; Konrad Schindler; John W. Fisher III (CVPR Workshops, 2017)

Persistent surveillance of events with unknown, time-varying statistics. - Cenk Baykal; Guy Rosman; Sebastian Claici; Daniela Rus (ICRA, 2017)

Duckietown: An open, inexpensive and flexible platform for autonomy education and research. - Liam Paull; Jacopo Tani; Heejin Ahn; Javier Alonso-Mora; Luca Carlone; Michal Cáp; Yu Fan Chen; Changhyun Choi; Jeff Dusek; Yajun Fang; Daniel Hoehener; Shih-Yuan Liu; et al. (ICRA, 2017)

Machine learning and coresets for automated real-time video segmentation of laparoscopic and robot-assisted surgery. - Mikhail Volkov 002; Daniel A. Hashimoto; Guy Rosman; Ozanan R. Meireles; Daniela Rus (ICRA, 2017)

Hybrid control and learning with coresets for autonomous vehicles. - Guy Rosman; Liam Paull; Daniela Rus (IROS, 2017)

A Nonparametric Model for Multimodal Collaborative Activities Summarization. - Guy Rosman; John W. Fisher III; Daniela Rus (CoRR, 2017)

Task-Specific Sensor Planning for Robotic Assembly Tasks. - Guy Rosman; Changhyun Choi; Mehmet Remzi Dogar; John W. Fisher III; Daniela Rus (ICRA, 2018)

Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing. - Alexander Amini; Wilko Schwarting; Guy Rosman; Brandon Araki; Sertac Karaman; Daniela Rus (IROS, 2018)

ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles. - Felix Naser; Igor Gilitschenski; Guy Rosman; Alexander Amini; Frédo Durand; Antonio Torralba 001; Gregory W. Wornell; William T. Freeman; Sertac Karaman; Daniela Rus (ITSC, 2018)

The Manhattan Frame Model - Manhattan World Inference in the Space of Surface Normals. - Julian Straub; Oren Freifeld; Guy Rosman; John J. Leonard; John W. Fisher III (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Information-Driven Adaptive Structured-Light Scanners. - Guy Rosman; Daniela Rus; John W. Fisher III (IEEE Trans. Computational Imaging, 2018)

Variational End-to-End Navigation and Localization. - Alexander Amini; Guy Rosman; Sertac Karaman; Daniela Rus (ICRA, 2019)

Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. - Xin Huang 018; Stephen G. McGill; Brian C. Williams; Luke Fletcher; Guy Rosman (ICRA, 2019)

Infrastructure-free NLoS Obstacle Detection for Autonomous Cars. - Felix Naser; Igor Gilitschenski; Alexander Amini; Christina Liao; Guy Rosman; Sertac Karaman; Daniela Rus (IROS, 2019)

Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. - Xin Huang 018; Stephen G. McGill; Jonathan A. DeCastro; Brian C. Williams; Luke Fletcher; John J. Leonard; Guy Rosman (CoRR, 2019)

Deep Context Map: Agent Trajectory Prediction using Location-specific Latent Maps. - Igor Gilitschenski; Guy Rosman; Arjun Gupta; Sertac Karaman; Daniela Rus (CoRR, 2019)

Probabilistic Risk Metrics for Navigating Occluded Intersections. - Stephen G. McGill; Guy Rosman; Teddy Ort; Alyssa Pierson; Igor Gilitschenski; Brandon Araki; Luke Fletcher; Sertac Karaman; Daniela Rus; John J. Leonard (IEEE Robotics Autom. Lett., 2019)

Differentiable Logic Layer for Rule Guided Trajectory Prediction. - Xiao Li 025; Guy Rosman; Igor Gilitschenski; Jonathan A. DeCastro; Cristian Ioan Vasile; Sertac Karaman; Daniela Rus (CoRL, 2020)

MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control. - Boris Ivanovic; Amine Elhafsi; Guy Rosman; Adrien Gaidon; Marco Pavone 001 (CoRL, 2020)

Driving Through Ghosts: Behavioral Cloning with False Positives. - Andreas Bühler; Adrien Gaidon; Andrei Cramariuc; Rares Ambrus; Guy Rosman; Wolfram Burgard (IROS, 2020)

Behaviorally Diverse Traffic Simulation via Reinforcement Learning. - Shinya Shiroshita; Shirou Maruyama; Daisuke Nishiyama; Mario Ynocente Castro; Karim Hamzaoui; Guy Rosman; Jonathan A. DeCastro; Kuan-Hui Lee; Adrien Gaidon (IROS, 2020)

Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation. - Daisuke Nishiyama; Mario Ynocente Castro; Shirou Maruyama; Shinya Shiroshita; Karim Hamzaoui; Yi Ouyang; Guy Rosman; Jonathan A. DeCastro; Kuan-Hui Lee; Adrien Gaidon (ITSC, 2020)

Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. - Zhangjie Cao; Erdem Biyik; Woodrow Z. Wang; Allan Raventos; Adrien Gaidon; Guy Rosman; Dorsa Sadigh (Robotics: Science and Systems, 2020)

Aggregating Long-Term Context for Learning Surgical Workflows. - Yutong Ban; Guy Rosman; Thomas M. Ward; Daniel A. Hashimoto; Taisei Kondo; Hidekazu Iwaki; Ozanan R. Meireles; Daniela Rus (CoRR, 2020)

Deep Context Maps: Agent Trajectory Prediction Using Location-Specific Latent Maps. - Igor Gilitschenski; Guy Rosman; Arjun Gupta; Sertac Karaman; Daniela Rus (IEEE Robotics Autom. Lett., 2020)

DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. - Xin Huang 018; Stephen G. McGill; Jonathan A. DeCastro; Luke Fletcher; John J. Leonard; Brian C. Williams; Guy Rosman (IEEE Robotics Autom. Lett., 2020)

MAAD: A Model and Dataset for "Attended Awareness" in Driving. - Deepak E. Gopinath; Guy Rosman; Simon Stent; Katsuya Terahata; Luke Fletcher; Brenna Argall; John J. Leonard (ICCVW, 2021)

Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows. - Yutong Ban; Guy Rosman; Thomas M. Ward; Daniel A. Hashimoto; Taisei Kondo; Hidekazu Iwaki; Ozanan R. Meireles; Daniela Rus (ICRA, 2021)

Risk Conditioned Neural Motion Planning. - Xin Huang 018; Meng Feng; Ashkan Jasour; Guy Rosman; Brian C. Williams (IROS, 2021)

SUrgical PRediction GAN for Events Anticipation. - Yutong Ban; Guy Rosman; Thomas M. Ward; Daniel A. Hashimoto; Taisei Kondo; Hidekazu Iwaki; Ozanan R. Meireles; Daniela Rus (CoRR, 2021)

TIP: Task-Informed Motion Prediction for Intelligent Systems. - Xin Huang 018; Guy Rosman; Ashkan Jasour; Stephen G. McGill; John J. Leonard; Brian C. Williams (CoRR, 2021)

CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. - Xin Huang 018; Stephen G. McGill; Jonathan A. DeCastro; Luke Fletcher; John J. Leonard; Brian C. Williams; Guy Rosman (IEEE Robotics Autom. Lett., 2021)

Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features. - Xiao Li 025; Guy Rosman; Igor Gilitschenski; Cristian Ioan Vasile; Jonathan A. DeCastro; Sertac Karaman; Daniela Rus (IEEE Robotics Autom. Lett., 2021)

HMIway-env: A Framework for Simulating Behaviors and Preferences to Support Human-AI Teaming in Driving. - Deepak E. Gopinath; Jonathan A. DeCastro; Guy Rosman; Emily Sumner; Allison Morgan; Shabnam Hakimi; Simon Stent (CVPR Workshops, 2022)

A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction. - Yutong Ban; Xiao Li 025; Guy Rosman; Igor Gilitschenski; Ozanan R. Meireles; Sertac Karaman; Daniela Rus (ICRA, 2022)

Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. - Zhangjie Cao; Erdem Biyik; Guy Rosman; Dorsa Sadigh (ICRA, 2022)

HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. - Xin Huang 018; Guy Rosman; Igor Gilitschenski; Ashkan Jasour; Stephen G. McGill; John J. Leonard; Brian C. Williams (ICRA, 2022)

Trajectory Prediction with Linguistic Representations. - Yen-Ling Kuo; Xin Huang 018; Andrei Barbu; Stephen G. McGill; Boris Katz; John J. Leonard; Guy Rosman (ICRA, 2022)

TIP: Task-Informed Motion Prediction for Intelligent Vehicles. - Xin Huang 018; Guy Rosman; Ashkan Jasour; Stephen G. McGill; John J. Leonard; Brian C. Williams (IROS, 2022)

Learning Latent Traits for Simulated Cooperative Driving Tasks. - Jonathan A. DeCastro; Deepak E. Gopinath; Guy Rosman; Emily Sumner; Shabnam Hakimi; Simon Stent (CoRR, 2022)

SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery. - Yutong Ban; Guy Rosman; Jennifer A. Eckhoff; Thomas M. Ward; Daniel A. Hashimoto; Taisei Kondo; Hidekazu Iwaki; Ozanan R. Meireles; Daniela Rus (IEEE Robotics Autom. Lett., 2022)

Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN). - Xiao Li 025; Guy Rosman; Igor Gilitschenski; Brandon Araki; Cristian-Ioan Vasile; Sertac Karaman; Daniela Rus (IEEE Robotics Autom. Lett., 2022)

Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation. - Peter Werner; Tim Seyde; Paul Drews; Thomas Matrai Balch; Igor Gilitschenski; Wilko Schwarting; Guy Rosman; Sertac Karaman; Daniela Rus (CoRL, 2023)

MPOGames: Efficient Multimodal Partially Observable Dynamic Games. - Oswin So; Paul Drews; Thomas Balch; Velin Dimitrov; Guy Rosman; Evangelos A. Theodorou (ICRA, 2023)

Specification-Guided Data Aggregation for Semantically Aware Imitation Learning. - Ameesh Shah; Jonathan A. DeCastro; John Gideon; Beyazit Yalcinkaya; Guy Rosman; Sanjit A. Seshia (CoRR, 2023)

GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction. - Justin Lidard; Oswin So; Yanxia Zhang; Jonathan A. DeCastro; Xiongyi Cui; Xin Huang 018; Yen-Ling Kuo; John J. Leonard; Avinash Balachandran; Naomi Ehrich Leonard; Guy Rosman (CoRR, 2023)

Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. - Xiao Li 025; Igor Gilitschenski; Guy Rosman; Sertac Karaman; Daniela Rus (IEEE Robotics Autom. Lett., 2023)

Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing. - Jonathan A. DeCastro; Andrew Silva; Deepak E. Gopinath; Emily Sumner; Thomas Matrai Balch; Laporsha Dees; Guy Rosman (CoRL, 2024)

Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. - Tsun-Hsuan Wang; Alaa Maalouf; Wei Xiao 003; Yutong Ban; Alexander Amini; Guy Rosman; Sertac Karaman; Daniela Rus (ICRA, 2024)

Learning autonomous driving from aerial imagery. - Varun Murali; Guy Rosman; Sertac Karaman; Daniela Rus (IROS, 2024)

Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach. - Yuki Tsuchiya; Thomas Balch; Paul Drews; Guy Rosman (IROS, 2024)

Blending Data-Driven Priors in Dynamic Games. - Justin Lidard; Haimin Hu; Asher Hancock; Zixu Zhang; Albert Gimó Contreras; Vikash Modi; Jonathan A. DeCastro; Deepak Edakkattil Gopinath; Guy Rosman; Naomi Ehrich Leonard; Maria Santos 003; Jaime Fernández Fisac (Robotics: Science and Systems, 2024)

Can Pupillometry be used to Detect Driver Hazard Awareness? - Kimimasa Tamura; John Gideon; Simon Stent; Guy Rosman (SMC, 2024)

Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery. - Lianhao Yin; Yutong Ban; Jennifer A. Eckhoff; Ozanan R. Meireles; Daniela Rus; Guy Rosman (CoRR, 2024)

Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference. - Emily S. Sumner; Jonathan A. DeCastro; Jean Costa; Deepak E. Gopinath; Everlyne Kimani; Shabnam Hakimi; Allison Morgan; Andrew Best; Hieu Nguyen; Daniel J. Brooks; Bassam ul Haq; Andrew Patrikalakis; et al. (CoRR, 2024)

Probing Multimodal LLMs as World Models for Driving. - Shiva Sreeram; Tsun-Hsuan Wang; Alaa Maalouf; Guy Rosman; Sertac Karaman; Daniela Rus (CoRR, 2024)

Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions. - Haimin Hu; Jonathan A. DeCastro; Deepak E. Gopinath; Guy Rosman; Naomi Ehrich Leonard; Jaime Fernández Fisac (CoRR, 2024)

Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance. - Abhijat Biswas; John Gideon; Kimimasa Tamura; Guy Rosman (CoRR, 2024)

Computational Teaching for Driving via Multi-Task Imitation Learning. - Deepak E. Gopinath; Xiongyi Cui; Jonathan A. DeCastro; Emily Sumner; Jean Costa; Hiroshi Yasuda; Allison Morgan; Laporsha Dees; Sheryl Chau; John J. Leonard; Tiffany Chen; Guy Rosman; et al. (CoRR, 2024)

Generating Out-Of-Distribution Scenarios Using Language Models. - Erfan Aasi; Phat Nguyen; Shiva Sreeram; Guy Rosman; Sertac Karaman; Daniela Rus (CoRR, 2024)

Concept Graph Neural Networks for Surgical Video Understanding. - Yutong Ban; Jennifer A. Eckhoff; Thomas M. Ward; Daniel A. Hashimoto; Ozanan R. Meireles; Daniela Rus; Guy Rosman (IEEE Trans. Medical Imaging, 2024)

Shared Autonomy for Proximal Teaching. - Megha Srivastava; Reihaneh Iranmanesh; Yuchen Cui; Deepak Edakkattil Gopinath; Emily Sarah Sumner; Andrew Silva; Laporsha Dees; Guy Rosman; Dorsa Sadigh (HRI, 2025)

ReGen: Generative Robot Simulation via Inverse Design. - Phat Tan Nguyen; Tsun-Hsuan Wang; Zhang-Wei Hong; Erfan Aasi; Andrew Silva; Guy Rosman; Sertac Karaman; Daniela Rus (ICLR, 2025)

Safety with Agency: Human-Centered Safety Filter with Application to AI-Assisted Motorsports. - Donggeon David Oh; Justin Lidard; Haimin Hu; Himani Sinhmar; Elle Lazarski; Deepak Edakkattil Gopinath; Emily S. Sumner; Jonathan A. DeCastro; Guy Rosman; Naomi Ehrich Leonard; Jaime Fernández Fisac (CoRR, 2025)

Surgical Foundation Model Leveraging Compression and Entropy Maximization for Image-Guided Surgical Assistance. - Lianhao Yin; Ozanan R. Meireles; Guy Rosman; Daniela Rus (CoRR, 2025)

Holistic Surgical Phase Recognition with Hierarchical Input Dependent State Space Models. - Haoyang Wu; Tsun-Hsuan Wang; Mathias Lechner; Ramin M. Hasani; Jennifer A. Eckhoff; Paul Pak; Ozanan R. Meireles; Guy Rosman; Yutong Ban; Daniela Rus (CoRR, 2025)

A Simulator Dataset to Support the Study of Impaired Driving. - John Gideon; Kimimasa Tamura; Emily Sumner; Laporsha Dees; Patricio Reyes Gomez; Bassam ul Haq; Todd Rowell; Avinash Balachandran; Simon Stent; Guy Rosman (CoRR, 2025)